Markus Buehler's picture

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Markus Buehler PRO

mjbuehler

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https://meche.mit.edu/people/faculty/mbuehler@mit.edu

AI & ML interests

Atomistic, molecular and multiscale modeling Artificial intelligence and machine learning Bioinspired design, biomaterials and protein materials, additive manufacturing

Articles

Building a Vision Mixture-of-Expert Model from several fine-tuned Phi-3-Vision Models

Organizations

mjbuehler's activity

upvoted a collection about 1 month ago

Cephalo

Cephalo is a series of multimodal vision large language models (V-LLMs) designed to integrate visual and linguistic reasoning in materials science. • 14 items • Updated 20 days ago • 1

upvoted 11 papers 4 months ago

Reoccurring patterns in hierarchical protein materials and music: The power of analogies

Paper • 1111.5297 • Published Nov 22, 2011 • 1

DyFraNet: Forecasting and Backcasting Dynamic Fracture Mechanics in Space and Time Using a 2D-to-3D Deep Neural Network

Paper • 2211.08482 • Published Nov 15, 2022 • 1

Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing

Paper • 2304.05137 • Published Apr 11, 2023 • 1

Generative Discovery of Novel Chemical Designs using Diffusion Modeling and Transformer Deep Neural Networks with Application to Deep Eutectic Solvents

Paper • 2304.12400 • Published Apr 24, 2023 • 1

Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Novel Proteins

Paper • 2305.04934 • Published May 7, 2023 • 1

MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems

Paper • 2306.17525 • Published Jun 30, 2023 • 1

BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials

Paper • 2309.08788 • Published Sep 15, 2023 • 1

Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties

Paper • 2309.10170 • Published Sep 18, 2023 • 1

MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities

Paper • 2310.10445 • Published Oct 16, 2023 • 1

ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model

Paper • 2310.10605 • Published Oct 16, 2023 • 1

MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge

Paper • 2311.08166 • Published Nov 14, 2023 • 2